id: 06090687
dt: j
an: 06090687
au: Tang, Suyan; Zhu, Yifan; Zhang, Wei; Li, Qun
ti: The particle swarm optimization algorithm based on creative thinking.
so: Control Decis. 26, No. 8, 1181-1186 (2011).
py: 2011
pu: Editorial Office of Control and Decision, Northeastern University, Shenyang
la: ZH
cc: 
ut: swarm intelligence; particle swarm optimization; creative thinking; four
    stages model
ci: 
li: 
ab: Summary: Particle swarm optimization (PSO) suffers from the premature
    convergence problem in complex optimization problems. In order to solve
    this problem, this paper analyzes PSO algorithm from cognitive
    psychology and proposes a creative thinking (CT) based PSO algorithm
    (CTPSO). Based on the four stages model in CT process, a framework of
    CTPSO is designed, and the evolution model is adapted, which includes a
    CT model besides the memory model, cognitive model and social model in
    standard PSO to improve the optimization capability of particles. CTPSO
    is applied to some well-known benchmarks, and experimental results show
    that CTPSO possesses more powerful global search capabilities, better
    convergence rate and robustness, meanwhile it does not introduce new
    parameters and computational complexity.
rv: